AI Architecture Senior Manager

### **Role Overview** As an **AI Architecture Senior Manager**, you will lead the strategy, design, and implementation of enterprise\-scale AI platforms and architectures, enabling the adoption of advanced AI technologies including Generative AI, Large Language Models (LLMs), and multi\-modal models. You will define the target\-state AI architecture, drive technology decisions, and establish scalable, secure, and governed AI foundations that accelerate business innovation and enterprise\-wide AI adoption. **Key Responsibilities** ------------------------ * Define and evolve enterprise AI architecture strategies, frameworks, and reference architectures, including Generative AI, LLMs, and multi\-modal AI solutions. * Assess emerging AI technologies, platforms, and architectural patterns, providing leadership on technology selection and adoption. * Develop and execute AI transformation roadmaps that establish enterprise AI foundations and long\-term scalability. * Design and operationalize end\-to\-end AI platforms supporting model development, deployment, monitoring, governance, and lifecycle management. * Lead the integration of AI/ML technologies across data platforms, model ecosystems, MLOps, cloud infrastructure, security, and governance frameworks. * Architect and build custom AI platform components to address complex business and technical requirements. * Optimize compute infrastructure, model\-serving environments, and distributed AI workloads for scalability, performance, reliability, and cost efficiency. * Establish enterprise AI operational standards, including observability, monitoring, performance management, and platform resilience. * Implement Responsible AI, security, privacy, risk management, and compliance controls across AI solutions and platforms. * Partner with business and technology stakeholders to define AI governance models, architecture standards, and best practices. * Provide technical leadership and mentorship to architecture, engineering, and data teams throughout AI initiatives. **Job Qualifications** ---------------------- ### **Basic Qualifications** * **12\+ years of experience** in AI Architecture, Enterprise Architecture, Data Platforms, Cloud Architecture, or related technology leadership roles. * Proven experience designing and implementing enterprise\-scale AI/ML platforms and advanced AI solutions. * Deep understanding of Generative AI, Large Language Models (LLMs), multi\-modal models, and AI ecosystem technologies. * Strong experience with cloud platforms such as Azure, AWS, or Google Cloud and their AI/ML services. * Expertise in MLOps, AI platform engineering, model deployment, monitoring, and operationalization. * Experience implementing AI security, governance, compliance, and Responsible AI frameworks. * Strong architecture leadership experience with the ability to influence senior stakeholders and technology strategy. ### **Preferred Qualifications** * Experience establishing Enterprise AI Foundations, AI Centers of Excellence (CoE), or AI Transformation programs. * Knowledge of vector databases, Retrieval\-Augmented Generation (RAG), AI agents, orchestration frameworks, and advanced AI architecture patterns. * Experience with Kubernetes, containerization, distributed computing, and high\-performance AI infrastructure. * Expertise in AI observability, model performance optimization, platform reliability, and cost management. * Strong consulting, stakeholder management, and executive communication skills. * Relevant certifications in Cloud Architecture, Artificial Intelligence, Machine Learning, or Enterprise Architecture are preferred.